Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
3-2017
Abstract
This paper establishes the power of dynamic collaborative task completion among workers for urban mobile crowdsourcing. Collaboration is defined via the notion of peer referrals, whereby a worker who has accepted a location-specific task, but is unlikely to visit that location, offloads the task to a willing friend. Such a collaborative framework might be particularly useful for task bundles, especially for bundles that have higher geographic dispersion. The challenge, however, comes from the high similarity observed in the spatiotemporal pattern of task completion among friends. Using extensive real-world crowd-sourcing studies conducted over 7 weeks and 1000+ workers on a campus-based crowd-sourcing platform, we quantify the effect of such "task completion homophily", and show that incorporating such peer-preferences can improve worker-specific models of task preferences by over 30%. We then show that such collaborative offloading works in spite of such spatio-temporal similarity, primarily because workers refer tasks to their close friends, who in turn perform such peer-requested tasks (with over 95% completion rate) even if they experience detours that are significantly larger (often more than twice) than what they normally tolerate for platform-recommended tasks.
Keywords
Collaboration, Crowd-sourcing, Homophily, Social-ties
Discipline
Computer Engineering | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
CSCW '17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing; Portland, OR, February 25 - March 1
First Page
902
Last Page
915
ISBN
9781450343350
Identifier
10.1145/2998181.2998311
Publisher
ACM
City or Country
New York
Citation
KANDAPPU, Thivya; MISRA, Archan; and TANDRIANSYAH, Randy.
Collaboration trumps homophily in urban mobile crowdsourcing. (2017). CSCW '17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing; Portland, OR, February 25 - March 1. 902-915.
Available at: https://ink.library.smu.edu.sg/sis_research/5387
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/2998181.2998311